scholarly journals Urban Scene Vectorized Modeling Based on Contour Deformation

2020 ◽  
Vol 9 (3) ◽  
pp. 162
Author(s):  
Lingjie Zhu ◽  
Shuhan Shen ◽  
Xiang Gao ◽  
Zhanyi Hu
Keyword(s):  
Autonomous Driving ◽  
3D Models ◽  
Deformation Energy ◽  
Surface Model ◽  
Urban Scenes ◽  
The Public ◽  
The Arts ◽  
Building Models ◽  
Urban Scene ◽  
Contour Deformation

Modeling urban scenes automatically is an important problem for both GIS and nonGIS specialists with applications like urban planning, autonomous driving, and virtual reality. In this paper, we present a novel contour deformation approach to generate regularized and vectorized 3D building models from the orthophoto and digital surface model (DSM).The proposed method has four major stages: dominant directions extraction, find target align direction, contour deformation, and model generation. To begin with, we extract dominant directions for each building contour in the orthophoto. Then every edge of the contour is assigned with one of the dominant directions via a Markov random field (MRF). Taking the assigned direction as target, we define a deformation energy with the Advanced Most-Isometric ParameterizationS (AMIPS) to align the contour to the dominant directions. Finally, the aligned contour is simplified and extruded to 3D models. Through the alignment deformation, we are able to straighten the contour while keeping the sharp turning corners. Our contour deformation based urban modeling approach is accurate and robust comparing with the state-of-the-arts as shown in experiments on the public dataset.

scholarly journals The Leiden-Turin Archaeological Expedition to Saqqara: Preliminary Results of the 2019 Fieldwork Season.

2018 ◽  
Vol 4 ◽  
Author(s):  
Paolo Del Vesco ◽  
Christian Greco ◽  
Daniel Soliman ◽  
Nico Staring ◽  
Lara Weiss ◽  
...  
Keyword(s):  
3D Models ◽  
Surface Model ◽  
Underground Structures ◽  
Content Type ◽  
The Public ◽  
The North ◽  
Digital Reconstruction ◽  
Excavation Work ◽  
Area North ◽  
Small Finds

In the 2019 season, the joint Leiden-Turin Expedition to Saqqara continued work in the area north of the tomb of Maya with the aim of lowering the terrain above the new tomb discovered during the 2018 season (V82.1) and to prepare the area for further exploration in 2020. Many layers of deposit situated immediately to the north of the new tomb were removed and – although they mostly originated from previous excavations in the 1980s and 1990s –  systematically investigated. Several dumps of organic material such as linen and wood as well as numerous small finds and relief fragments were identified and recorded. In addition, existing storage facilities on site were renovated and upgraded. In this process, part of the underground structures of the tombs of Horemheb and Meryneith were surveyed by the 3D Survey Group (Politecnico di Milano). Thanks to the cooperation with the same Milanese team, a new documentation method was tested during the ongoing excavation work. Within a 3D-model the different stages of excavation were recorded, allowing the digital reconstruction of the stratigraphy of the whole area and the documentation of all finds in their original contexts. A Digital Surface Model of the entire concession area was also produced, and 3D-models of some of the previously excavated monumental tombs were created. Lastly, since heavy rainfalls had damaged many of the earlier excavated monumental tombs open to the public, they were consolidated and where necessary rebuilt. ملخص في موسم 2019، واصلت البعثة ليدن-تورينو المشتركة عملها في سقارة في المنطقة شمال قبر مايا، بهدف إزالة الأتربة التي تراكمت فوق القبر الجديد الذي اكتُشِف خلال موسم 2018 (V82.1) وإعداد المنطقة لموسم التنقيب لعام 2020. تمت إزالة العديد من طبقات الأتربة التي تغطي المنطقة الشمالية من القبر الجديد، بالرغم من أن هذه الرواسب تراكمت في الغالب بموجب الحفريات السابقة في الثمانينيات والتسعينيات، فقد تمت دراستها بشكل منهجي. قامت البعثة بالتنقيب وبتسجيل العديد من المواد العضوية مثل الكتان والخشب و غيرها من الشظايا واكتشافات أخرى صغيرة. كما أنه تم الكشف وتسجيل مرافق التخزين الموجودة في الموقع. من خلال هذه العملية، قام فريق الباحثين من الفرع التقني لجامعة ميلانو بمسح جزء من الهياكل تحت الأرض لمقابر حورمحب و مرينيث باستخدام الماسح ثلاثي الأبعاد. بفضل تعاون هذا الفريق، تم أثناء أعمال التنقيب اختبار طريقة جديدة في التوثيق. استناداً على النموذج ثلاثي الأبعاد، تم تسجيل مراحل التنقيب المختلفة مما سمح بإعادة البناء الرقمي للمنطقة بأكملها وتوثيق جميع الاكتشافات في أماكنها الأصلية. تم تنفيذ نموذج رقمي لكامل سطح المنطقة بالإضافة إلى إنشاء نماذج ثلاثية الأبعاد لبعض المقابر الأثرية التي نُقّب عنها سابقاً. وأخيراً، بما أن الأمطار الغزيرة ألحقت الضرر بالعديد من المقابر الأثرية المكتشفة سابقاً والمفتوحة لزيارة الجمهور، فقد تم تدعيمها وإعادة بناء الأقسام الضرورية.

scholarly journals Heritage Artefacts in the COVID-19 Era: The Aura and Authenticity of 3D Models

2021 ◽  
Vol 7 (1) ◽  
pp. 519-539
Author(s):  
Thiago Minete Cardozo ◽  
Costas Papadopoulos
Keyword(s):  
User Experience ◽  
Three Dimensional ◽  
3D Models ◽  
Essential Elements ◽  
The Other ◽  
Social Distancing ◽  
The Public ◽  
Affective Experiences ◽  
The One ◽  
Digital Engagement

Abstract Museums have been increasingly investing in their digital presence. This became more pressing during the COVID-19 pandemic since heritage institutions had, on the one hand, to temporarily close their doors to visitors while, on the other, find ways to communicate their collections to the public. Virtual tours, revamped websites, and 3D models of cultural artefacts were only a few of the means that museums devised to create alternative ways of digital engagement and counteract the physical and social distancing measures. Although 3D models and collections provide novel ways to interact, visualise, and comprehend the materiality and sensoriality of physical objects, their mediation in digital forms misses essential elements that contribute to (virtual) visitor/user experience. This article explores three-dimensional digitisations of museum artefacts, particularly problematising their aura and authenticity in comparison to their physical counterparts. Building on several studies that have problematised these two concepts, this article establishes an exploratory framework aimed at evaluating the experience of aura and authenticity in 3D digitisations. This exploration allowed us to conclude that even though some aspects of aura and authenticity are intrinsically related to the physicality and materiality of the original, 3D models can still manifest aura and authenticity, as long as a series of parameters, including multimodal contextualisation, interactivity, and affective experiences are facilitated.

scholarly journals Transformer Meets Convolution: A Bilateral Awareness Network for Semantic Segmentation of Very Fine Resolution Urban Scene Images

2021 ◽  
Vol 13 (16) ◽  
pp. 3065
Author(s):  
Libo Wang ◽  
Rui Li ◽  
Dongzhi Wang ◽  
Chenxi Duan ◽  
Teng Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Texture Features ◽  
Semantic Segmentation ◽  
Autonomous Driving ◽  
Research Field ◽  
Learning Approaches ◽  
Fine Grained ◽  
Urban Scene ◽  
Fine Resolution ◽  
With Memory

Semantic segmentation from very fine resolution (VFR) urban scene images plays a significant role in several application scenarios including autonomous driving, land cover classification, urban planning, etc. However, the tremendous details contained in the VFR image, especially the considerable variations in scale and appearance of objects, severely limit the potential of the existing deep learning approaches. Addressing such issues represents a promising research field in the remote sensing community, which paves the way for scene-level landscape pattern analysis and decision making. In this paper, we propose a Bilateral Awareness Network which contains a dependency path and a texture path to fully capture the long-range relationships and fine-grained details in VFR images. Specifically, the dependency path is conducted based on the ResT, a novel Transformer backbone with memory-efficient multi-head self-attention, while the texture path is built on the stacked convolution operation. In addition, using the linear attention mechanism, a feature aggregation module is designed to effectively fuse the dependency features and texture features. Extensive experiments conducted on the three large-scale urban scene image segmentation datasets, i.e., ISPRS Vaihingen dataset, ISPRS Potsdam dataset, and UAVid dataset, demonstrate the effectiveness of our BANet. Specifically, a 64.6% mIoU is achieved on the UAVid dataset.

Perceptual Rules for Building Enhancements in 3D Virtual Worlds

i-com ◽  
2017 ◽  
Vol 16 (3) ◽  
pp. 205-213 ◽  
Author(s):  
Patrick Tutzauer ◽  
Susanne Becker ◽  
Norbert Haala
Keyword(s):  
Virtual Worlds ◽  
Mobile Apps ◽  
Research Question ◽  
Feature Space ◽  
Information Modeling ◽  
Visual Appearance ◽  
Urban Scenes ◽  
Additional Information ◽  
Building Models ◽  
Building Information

AbstractWhile the generation of geometric 3D virtual models has become feasible to a great extent, the enrichment of the resulting urban building models with semantics remains an open research question in the field of geoinformation and geovisualisation. This additional information is not only valuable for applications like Building Information Modeling (BIM) but also offers possibilities to enhance the visual insight for humans when interacting with that kind of data. Depending on the application, presenting users the highest level of detail of building models is often neither the most informative nor feasible way. For example when using mobile apps, resources and display sizes are quite limited. A concrete use case is the imparting of building use types in urban scenes to users. Within our preliminary work, user studies helped to identify important features for the human ability to associate a building with its correct usage type. In this work we now embed this knowledge into building category-specific grammars to automatically modify the geometry of a building to align its visual appearance to its underlying use type. If the building category for a model is not known beforehand, we investigate its feature space and try to derive its use type from there. Within the context of this work, we developed a Virtual Reality (VR) framework that gives the user the possibility to switch between different building representation types while moving in the VR world, thus enabling us in the future to evaluate the potential and effect of the grammar-enhanced building model in an immersive environment.

A Digital Terrain Modeling Method in Urban Areas by the ICESat-2 (Generating precise terrain surface profiles from photon-counting technology)

2021 ◽  
Vol 87 (4) ◽  
pp. 237-248
Author(s):  
Nahed Osama ◽  
Bisheng Yang ◽  
Yue Ma ◽  
Mohamed Freeshah
Keyword(s):  
Urban Areas ◽  
Spatial Clustering ◽  
Photon Counting ◽  
Ground Surface ◽  
Ground Truth ◽  
Surface Model ◽  
Laser Altimeter ◽  
Ground Truth Data ◽  
Urban Scenes ◽  
Terrain Surface

The ICE, Cloud and land Elevation Satellite-2 (ICES at-2) can provide new measurements of the Earth's elevations through photon-counting technology. Most research has focused on extracting the ground and the canopy photons in vegetated areas. Yet the extraction of the ground photons from urban areas, where the vegetation is mixed with artificial constructions, has not been fully investigated. This article proposes a new method to estimate the ground surface elevations in urban areas. The ICES at-2 signal photons were detected by the improved Density-Based Spatial Clustering of Applications with Noise algorithm and the Advanced Topographic Laser Altimeter System algorithm. The Advanced Land Observing Satellite-1 PALSAR –derived digital surface model has been utilized to separate the terrain surface from the ICES at-2 data. A set of ground-truth data was used to evaluate the accuracy of these two methods, and the achieved accuracy was up to 2.7 cm, which makes our method effective and accurate in determining the ground elevation in urban scenes.

scholarly journals Dementia and literature

2003 ◽  
Vol 9 (6) ◽  
pp. 439-445 ◽  
Author(s):  
Christopher A. Vassilas
Keyword(s):  
Scar Tissue ◽  
First Person ◽  
Iris Murdoch ◽  
The Public ◽  
The Arts ◽  
Jewish Migration ◽  
Two Generations ◽  
Four Books ◽  
Person Account ◽  
The Uk

As we doctors are beginning to understand more and more about dementia, the public has become increasingly aware of the condition and in turn this has been reflected in the arts. This article discusses four books whose main focus is the experience of dementia, each written from an entirely different perspective: a novel giving a first-person account of dementia by the Dutch writer J. Bernlef; a biography of the famous novelist Iris Murdoch by her husband John Bayley; Linda Grant's account of her mother's multi-infarct dementia (which also describes Jewish migration to the UK two generations ago); and Michael Igniateff's autobiographical novel Scar Tissue. Such accounts, offering insights into how patients and carers feel, cannot but help make us better doctors.

Regarding the Pain of Women: Questions of Gender and the Arts of Holocaust Memory

PMLA ◽  
2009 ◽  
Vol 124 (5) ◽  
pp. 1778-1786 ◽  
Author(s):  
James E. Young
Keyword(s):  
The Public ◽  
War Photography ◽  
Holocaust Memory ◽  
The Arts ◽  
The Holocaust ◽  
Critical Literature

My Title, a variation on Susan Sontag's regarding the pain of others, is meant as an homage to sontag and as an extension of her searing critique of war photography and its reflexive objectification of suffering, its conversion of victims into objets d'art. But why, in particular, the pain of women Holocaust victims here? Because we have finally begun to amass a large and profound critical literature on gender and the Holocaust, which, alongside Sontag's work on photography, might help us look at how and why the public gaze of photographers, curators, historians, and museumgoers continues to turn women into objects of memory, idealized casts of perfect suffering and victimization, and even emblems of larger Jewish suffering during the Holocaust.

scholarly journals EVALUATION OF MODEL RECOGNITION FOR GRAMMAR-BASED AUTOMATIC 3D BUILDING MODEL RECONSTRUCTION

2016 ◽  
Vol XLI-B4 ◽  
pp. 63-69
Author(s):  
Qian Yu ◽  
Petra Helmholz ◽  
David Belton
Keyword(s):  
Laser Scanning ◽  
Quality Evaluation ◽  
Evaluation Process ◽  
3D Models ◽  
Point Of View ◽  
Three Dimensions ◽  
Public And Private ◽  
Building Models ◽  
Evaluation Point ◽  
Increasing Demand

In recent years, 3D city models are in high demand by many public and private organisations, and the steadily growing capacity in both quality and quantity are increasing demand. The quality evaluation of these 3D models is a relevant issue both from the scientific and practical points of view. In this paper, we present a method for the quality evaluation of 3D building models which are reconstructed automatically from terrestrial laser scanning (TLS) data based on an attributed building grammar. The entire evaluation process has been performed in all the three dimensions in terms of completeness and correctness of the reconstruction. Six quality measures are introduced to apply on four datasets of reconstructed building models in order to describe the quality of the automatic reconstruction, and also are assessed on their validity from the evaluation point of view.

scholarly journals UNDERWATER PHOTOGRAMMETRY DIGITAL SURFACE MODEL (DSM) OF THE SUBMERGED SITE OF THE ANCIENT LIGHTHOUSE NEAR QAITBAY FORT IN ALEXANDRIA, EGYPT

2019 ◽  
Vol XLII-2/W10 ◽  
pp. 1-8 ◽  
Author(s):  
M. Abdelaziz ◽  
M. Elsayed
Keyword(s):  
3D Model ◽  
Low Cost ◽  
Data Gathering ◽  
Archaeological Site ◽  
3D Models ◽  
Surface Model ◽  
Digital Surface Model ◽  
Architectural Elements ◽  
3D Photogrammetry ◽  
First Time

<p><strong>Abstract.</strong> Underwater photogrammetry in archaeology in Egypt is a completely new experience applied for the first time on the submerged archaeological site of the lighthouse of Alexandria situated on the eastern extremity of the ancient island of Pharos at the foot of Qaitbay Fort at a depth of 2 to 9 metres. In 2009/2010, the CEAlex launched a 3D photogrammetry data-gathering programme for the virtual reassembly of broken artefacts. In 2013 and the beginning of 2014, with the support of the Honor Frost Foundation, methods were developed and refined to acquire manual photographic data of the entire underwater site of Qaitbay using a DSLR camera, simple and low cost materials to obtain a digital surface model (DSM) of the submerged site of the lighthouse, and also to create 3D models of the objects themselves, such as statues, bases of statues and architectural elements. In this paper we present the methodology used for underwater data acquisition, data processing and modelling in order to generate a DSM of the submerged site of Alexandria’s ancient lighthouse. Until 2016, only about 7200&amp;thinsp;m<sup>2</sup> of the submerged site, which exceeds more than 13000&amp;thinsp;m<sup>2</sup>, was covered. One of our main objectives in this project is to georeference the site since this would allow for a very precise 3D model and for correcting the orientation of the site as regards the real-world space.</p>

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